diff --git a/litellm/litellm_core_utils/prompt_templates/factory.py b/litellm/litellm_core_utils/prompt_templates/factory.py
index 30263543fc6..1d1e38c09da 100644
--- a/litellm/litellm_core_utils/prompt_templates/factory.py
+++ b/litellm/litellm_core_utils/prompt_templates/factory.py
@@ -4408,7 +4408,7 @@ def _bedrock_tools_pt(tools: List) -> List[BedrockToolBlock]:
     ]
     """
     """
-    Bedrock toolConfig looks like: 
+    Bedrock toolConfig looks like:
     "tools": [
         {
             "toolSpec": {
@@ -4436,6 +4436,7 @@ def _bedrock_tools_pt(tools: List) -> List[BedrockToolBlock]:
 
     tool_block_list: List[BedrockToolBlock] = []
     for tool in tools:
+        # Handle regular function tools
         parameters = tool.get("function", {}).get(
             "parameters", {"type": "object", "properties": {}}
         )
diff --git a/litellm/llms/bedrock/chat/converse_transformation.py b/litellm/llms/bedrock/chat/converse_transformation.py
index cb26a22edfa..2ec27a7af08 100644
--- a/litellm/llms/bedrock/chat/converse_transformation.py
+++ b/litellm/llms/bedrock/chat/converse_transformation.py
@@ -298,6 +298,39 @@ def _is_nova_lite_2_model(self, model: str) -> bool:
         # Check if the model is specifically Nova Lite 2
         return "nova-2-lite" in model_without_region
 
+    def _map_web_search_options(
+        self,
+        web_search_options: dict,
+        model: str
+    ) -> Optional[BedrockToolBlock]:
+        """
+        Map web_search_options to Nova grounding systemTool.
+
+        Nova grounding (web search) is only supported on Amazon Nova models.
+        Returns None for non-Nova models.
+
+        Args:
+            web_search_options: The web_search_options dict from the request
+            model: The model identifier string
+
+        Returns:
+            BedrockToolBlock with systemTool for Nova models, None otherwise
+
+        Reference: https://docs.aws.amazon.com/nova/latest/userguide/grounding.html
+        """
+        # Only Nova models support nova_grounding
+        # Model strings can be like: "amazon.nova-pro-v1:0", "us.amazon.nova-pro-v1:0", etc.
+        if "nova" not in model.lower():
+            verbose_logger.debug(
+                f"web_search_options passed but model {model} is not a Nova model. "
+                "Nova grounding is only supported on Amazon Nova models."
+            )
+            return None
+
+        # Nova doesn't support search_context_size or user_location params
+        # (unlike Anthropic), so we just enable grounding with no options
+        return BedrockToolBlock(systemTool={"name": "nova_grounding"})
+
     def _transform_reasoning_effort_to_reasoning_config(
         self, reasoning_effort: str
     ) -> dict:
@@ -438,6 +471,10 @@ def get_supported_openai_params(self, model: str) -> List[str]:
         ):
             supported_params.append("tools")
 
+        # Nova models support web_search_options (mapped to nova_grounding systemTool)
+        if base_model.startswith("amazon.nova"):
+            supported_params.append("web_search_options")
+
         if litellm.utils.supports_tool_choice(
             model=model, custom_llm_provider=self.custom_llm_provider
         ) or litellm.utils.supports_tool_choice(
@@ -730,6 +767,13 @@ def map_openai_params(
                 if bedrock_tier in ("default", "flex", "priority"):
                     optional_params["serviceTier"] = {"type": bedrock_tier}
 
+            if param == "web_search_options" and value and isinstance(value, dict):                                                                                 
+                grounding_tool = self._map_web_search_options(value, model)                                                                                         
+                if grounding_tool is not None:                                                                                                                      
+                    optional_params = self._add_tools_to_optional_params(                                                                                           
+                        optional_params=optional_params, tools=[grounding_tool]                                                                                     
+                    )  
+
         # Only update thinking tokens for non-GPT-OSS models and non-Nova-Lite-2 models
         # Nova Lite 2 handles token budgeting differently through reasoningConfig
         if "gpt-oss" not in model and not self._is_nova_lite_2_model(model):
@@ -1388,20 +1432,23 @@ def _translate_message_content(self, content_blocks: List[ContentBlock]) -> Tupl
         str,
         List[ChatCompletionToolCallChunk],
         Optional[List[BedrockConverseReasoningContentBlock]],
+        Optional[List[CitationsContentBlock]],
     ]:
         """
-        Translate the message content to a string and a list of tool calls and reasoning content blocks
+        Translate the message content to a string and a list of tool calls, reasoning content blocks, and citations.
 
         Returns:
             content_str: str
             tools: List[ChatCompletionToolCallChunk]
             reasoningContentBlocks: Optional[List[BedrockConverseReasoningContentBlock]]
+            citationsContentBlocks: Optional[List[CitationsContentBlock]] - Citations from Nova grounding
         """
         content_str = ""
         tools: List[ChatCompletionToolCallChunk] = []
         reasoningContentBlocks: Optional[List[BedrockConverseReasoningContentBlock]] = (
             None
         )
+        citationsContentBlocks: Optional[List[CitationsContentBlock]] = None
         for idx, content in enumerate(content_blocks):
             """
             - Content is either a tool response or text
@@ -1446,8 +1493,13 @@ def _translate_message_content(self, content_blocks: List[ContentBlock]) -> Tupl
                 if reasoningContentBlocks is None:
                     reasoningContentBlocks = []
                 reasoningContentBlocks.append(content["reasoningContent"])
+            # Handle Nova grounding citations content
+            if "citationsContent" in content:
+                if citationsContentBlocks is None:
+                    citationsContentBlocks = []
+                citationsContentBlocks.append(content["citationsContent"])
 
-        return content_str, tools, reasoningContentBlocks
+        return content_str, tools, reasoningContentBlocks, citationsContentBlocks
 
     def _transform_response(
         self,
@@ -1525,18 +1577,27 @@ def _transform_response(
         reasoningContentBlocks: Optional[List[BedrockConverseReasoningContentBlock]] = (
             None
         )
+        citationsContentBlocks: Optional[List[CitationsContentBlock]] = None
 
         if message is not None:
             (
                 content_str,
                 tools,
                 reasoningContentBlocks,
+                citationsContentBlocks,
             ) = self._translate_message_content(message["content"])
 
+        # Initialize provider_specific_fields if we have any special content blocks
+        provider_specific_fields: dict = {}
+        if reasoningContentBlocks is not None:
+            provider_specific_fields["reasoningContentBlocks"] = reasoningContentBlocks
+        if citationsContentBlocks is not None:
+            provider_specific_fields["citationsContent"] = citationsContentBlocks
+
+        if provider_specific_fields:
+            chat_completion_message["provider_specific_fields"] = provider_specific_fields
+
         if reasoningContentBlocks is not None:
-            chat_completion_message["provider_specific_fields"] = {
-                "reasoningContentBlocks": reasoningContentBlocks,
-            }
             chat_completion_message["reasoning_content"] = (
                 self._transform_reasoning_content(reasoningContentBlocks)
             )
diff --git a/litellm/llms/bedrock/chat/invoke_handler.py b/litellm/llms/bedrock/chat/invoke_handler.py
index dfa1f02a155..77d2a3c0c22 100644
--- a/litellm/llms/bedrock/chat/invoke_handler.py
+++ b/litellm/llms/bedrock/chat/invoke_handler.py
@@ -1476,6 +1476,11 @@ def _handle_converse_delta_event(
                 reasoning_content = (
                     ""  # set to non-empty string to ensure consistency with Anthropic
                 )
+        elif "citationsContent" in delta_obj:
+            # Handle Nova grounding citations in streaming responses
+            provider_specific_fields = {
+                "citationsContent": delta_obj["citationsContent"],
+            }
         return (
             text,
             tool_use,
diff --git a/litellm/types/llms/bedrock.py b/litellm/types/llms/bedrock.py
index ef2f1ba4d5e..a85aaafe23d 100644
--- a/litellm/types/llms/bedrock.py
+++ b/litellm/types/llms/bedrock.py
@@ -93,6 +93,67 @@ class GuardrailConverseContentBlock(TypedDict, total=False):
     text: GuardrailConverseTextBlock
 
 
+class CitationWebLocationBlock(TypedDict, total=False):
+    """
+    Web location block for Nova grounding citations.
+    Contains the URL and domain from web search results.
+
+    Reference: https://docs.aws.amazon.com/nova/latest/userguide/grounding.html
+    """
+
+    url: str
+    domain: str
+
+
+class CitationLocationBlock(TypedDict, total=False):
+    """
+    Location block containing the web location for a citation.
+    """
+
+    web: CitationWebLocationBlock
+
+
+class CitationReferenceBlock(TypedDict, total=False):
+    """
+    Citation reference block containing a single citation with its location.
+
+    Each citation contains:
+    - location.web.url: The URL of the source
+    - location.web.domain: The domain of the source
+    """
+
+    location: CitationLocationBlock
+
+
+class CitationsContentBlock(TypedDict, total=False):
+    """
+    Citations content block returned by Nova grounding (web search) tool.
+
+    When Nova grounding is enabled via systemTool, the model may return
+    citationsContent blocks containing web search citation references.
+
+    Reference: https://docs.aws.amazon.com/nova/latest/userguide/grounding.html
+
+    Example response structure:
+        {
+            "citationsContent": {
+                "citations": [
+                    {
+                        "location": {
+                            "web": {
+                                "url": "https://example.com/article",
+                                "domain": "example.com"
+                            }
+                        }
+                    }
+                ]
+            }
+        }
+    """
+
+    citations: List[CitationReferenceBlock]
+
+
 class ContentBlock(TypedDict, total=False):
     text: str
     image: ImageBlock
@@ -103,6 +164,7 @@ class ContentBlock(TypedDict, total=False):
     cachePoint: CachePointBlock
     reasoningContent: BedrockConverseReasoningContentBlock
     guardContent: GuardrailConverseContentBlock
+    citationsContent: CitationsContentBlock
 
 
 class MessageBlock(TypedDict):
@@ -159,8 +221,24 @@ class ToolSpecBlock(TypedDict, total=False):
     description: str
 
 
+class SystemToolBlock(TypedDict, total=False):
+    """
+    System tool block for Nova grounding and other built-in tools.
+
+    Example:
+        {
+            "systemTool": {
+                "name": "nova_grounding"
+            }
+        }
+    """
+
+    name: Required[str]
+
+
 class ToolBlock(TypedDict, total=False):
     toolSpec: Optional[ToolSpecBlock]
+    systemTool: Optional[SystemToolBlock]
     cachePoint: Optional[CachePointBlock]
 
 
@@ -210,11 +288,13 @@ class ContentBlockStartEvent(TypedDict, total=False):
 class ContentBlockDeltaEvent(TypedDict, total=False):
     """
     Either 'text' or 'toolUse' will be specified for Converse API streaming response.
+    May also include 'citationsContent' when Nova grounding is enabled.
     """
 
     text: str
     toolUse: ToolBlockDeltaEvent
     reasoningContent: BedrockConverseReasoningContentBlockDelta
+    citationsContent: CitationsContentBlock
 
 
 class PerformanceConfigBlock(TypedDict):
@@ -879,3 +959,8 @@ class BedrockGetBatchResponse(TypedDict, total=False):
     outputDataConfig: BedrockOutputDataConfig
     timeoutDurationInHours: Optional[int]
     clientRequestToken: Optional[str]
+
+class BedrockToolBlock(TypedDict, total=False):
+    toolSpec: Optional[ToolSpecBlock]
+    systemTool: Optional[SystemToolBlock]  # For Nova grounding
+    cachePoint: Optional[CachePointBlock]
diff --git a/poetry.lock b/poetry.lock
index c5f5a87894e..e5ef1750da8 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -275,7 +275,7 @@ files = [
     {file = "annotated_doc-0.0.4-py3-none-any.whl", hash = "sha256:571ac1dc6991c450b25a9c2d84a3705e2ae7a53467b5d111c24fa8baabbed320"},
     {file = "annotated_doc-0.0.4.tar.gz", hash = "sha256:fbcda96e87e9c92ad167c2e53839e57503ecfda18804ea28102353485033faa4"},
 ]
-markers = {main = "python_version >= \"3.10\" and (extra == \"mlflow\" or extra == \"proxy\") or extra == \"proxy\""}
+markers = {main = "(extra == \"mlflow\" or extra == \"proxy\") and python_version >= \"3.10\" or extra == \"proxy\""}
 
 [[package]]
 name = "annotated-types"
@@ -343,7 +343,7 @@ zookeeper = ["kazoo"]
 name = "async-timeout"
 version = "5.0.1"
 description = "Timeout context manager for asyncio programs"
-optional = true
+optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 markers = "python_full_version < \"3.11.3\" and (extra == \"extra-proxy\" or extra == \"proxy\" or python_version < \"3.11\")"
@@ -557,48 +557,48 @@ files = [
 
 [[package]]
 name = "boto3"
-version = "1.36.0"
+version = "1.40.76"
 description = "The AWS SDK for Python"
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"proxy\""
 files = [
-    {file = "boto3-1.36.0-py3-none-any.whl", hash = "sha256:d0ca7a58ce25701a52232cc8df9d87854824f1f2964b929305722ebc7959d5a9"},
-    {file = "boto3-1.36.0.tar.gz", hash = "sha256:159898f51c2997a12541c0e02d6e5a8fe2993ddb307b9478fd9a339f98b57e00"},
+    {file = "boto3-1.40.76-py3-none-any.whl", hash = "sha256:8df6df755727be40ad9e309cfda07f9a12c147e17b639430c55d4e4feee8a167"},
+    {file = "boto3-1.40.76.tar.gz", hash = "sha256:16f4cf97f8dd8e0aae015f4dc66219bd7716a91a40d1e2daa0dafa241a4761c5"},
 ]
 
 [package.dependencies]
-botocore = ">=1.36.0,<1.37.0"
+botocore = ">=1.40.76,<1.41.0"
 jmespath = ">=0.7.1,<2.0.0"
-s3transfer = ">=0.11.0,<0.12.0"
+s3transfer = ">=0.14.0,<0.15.0"
 
 [package.extras]
 crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.36.26"
+version = "1.40.76"
 description = "Low-level, data-driven core of boto 3."
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"proxy\""
 files = [
-    {file = "botocore-1.36.26-py3-none-any.whl", hash = "sha256:4e3f19913887a58502e71ef8d696fe7eaa54de7813ff73390cd5883f837dfa6e"},
-    {file = "botocore-1.36.26.tar.gz", hash = "sha256:4a63bcef7ecf6146fd3a61dc4f9b33b7473b49bdaf1770e9aaca6eee0c9eab62"},
+    {file = "botocore-1.40.76-py3-none-any.whl", hash = "sha256:fe425d386e48ac64c81cbb4a7181688d813df2e2b4c78b95ebe833c9e868c6f4"},
+    {file = "botocore-1.40.76.tar.gz", hash = "sha256:2b16024d68b29b973005adfb5039adfe9099ebe772d40a90ca89f2e165c495dc"},
 ]
 
 [package.dependencies]
 jmespath = ">=0.7.1,<2.0.0"
 python-dateutil = ">=2.1,<3.0.0"
 urllib3 = [
-    {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""},
     {version = ">=1.25.4,<1.27", markers = "python_version < \"3.10\""},
+    {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""},
 ]
 
 [package.extras]
-crt = ["awscrt (==0.23.8)"]
+crt = ["awscrt (==0.28.4)"]
 
 [[package]]
 name = "cachetools"
@@ -607,7 +607,7 @@ description = "Extensible memoizing collections and decorators"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "python_version >= \"3.10\" and (extra == \"mlflow\" or extra == \"extra-proxy\") or extra == \"extra-proxy\""
+markers = "(extra == \"extra-proxy\" or extra == \"google\" or extra == \"mlflow\") and python_version >= \"3.10\" or extra == \"google\" or extra == \"extra-proxy\""
 files = [
     {file = "cachetools-6.2.2-py3-none-any.whl", hash = "sha256:6c09c98183bf58560c97b2abfcedcbaf6a896a490f534b031b661d3723b45ace"},
     {file = "cachetools-6.2.2.tar.gz", hash = "sha256:8e6d266b25e539df852251cfd6f990b4bc3a141db73b939058d809ebd2590fc6"},
@@ -1393,6 +1393,24 @@ docs = ["myst-parser (==0.18.0)", "sphinx (==5.1.1)"]
 ssh = ["paramiko (>=2.4.3)"]
 websockets = ["websocket-client (>=1.3.0)"]
 
+[[package]]
+name = "docstring-parser"
+version = "0.17.0"
+description = "Parse Python docstrings in reST, Google and Numpydoc format"
+optional = true
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"google\""
+files = [
+    {file = "docstring_parser-0.17.0-py3-none-any.whl", hash = "sha256:cf2569abd23dce8099b300f9b4fa8191e9582dda731fd533daf54c4551658708"},
+    {file = "docstring_parser-0.17.0.tar.gz", hash = "sha256:583de4a309722b3315439bb31d64ba3eebada841f2e2cee23b99df001434c912"},
+]
+
+[package.extras]
+dev = ["pre-commit (>=2.16.0) ; python_version >= \"3.9\"", "pydoctor (>=25.4.0)", "pytest"]
+docs = ["pydoctor (>=25.4.0)"]
+test = ["pytest"]
+
 [[package]]
 name = "docutils"
 version = "0.21.2"
@@ -1453,7 +1471,7 @@ files = [
     {file = "fastapi-0.121.3-py3-none-any.whl", hash = "sha256:0c78fc87587fcd910ca1bbf5bc8ba37b80e119b388a7206b39f0ecc95ebf53e9"},
     {file = "fastapi-0.121.3.tar.gz", hash = "sha256:0055bc24fe53e56a40e9e0ad1ae2baa81622c406e548e501e717634e2dfbc40b"},
 ]
-markers = {main = "python_version >= \"3.10\" and (extra == \"mlflow\" or extra == \"proxy\") or extra == \"proxy\""}
+markers = {main = "(extra == \"mlflow\" or extra == \"proxy\") and python_version >= \"3.10\" or extra == \"proxy\""}
 
 [package.dependencies]
 annotated-doc = ">=0.0.2"
@@ -1982,7 +2000,7 @@ description = "Google API client core library"
 optional = true
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "python_version >= \"3.14\" and extra == \"extra-proxy\""
+markers = "python_version >= \"3.14\" and (extra == \"extra-proxy\" or extra == \"google\")"
 files = [
     {file = "google_api_core-2.25.2-py3-none-any.whl", hash = "sha256:e9a8f62d363dc8424a8497f4c2a47d6bcda6c16514c935629c257ab5d10210e7"},
     {file = "google_api_core-2.25.2.tar.gz", hash = "sha256:1c63aa6af0d0d5e37966f157a77f9396d820fba59f9e43e9415bc3dc5baff300"},
@@ -2010,7 +2028,7 @@ description = "Google API client core library"
 optional = true
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "extra == \"extra-proxy\" and python_version < \"3.14\""
+markers = "python_version == \"3.9\" and (extra == \"google\" or extra == \"extra-proxy\") or python_version < \"3.14\" and (extra == \"extra-proxy\" or extra == \"google\")"
 files = [
     {file = "google_api_core-2.28.1-py3-none-any.whl", hash = "sha256:4021b0f8ceb77a6fb4de6fde4502cecab45062e66ff4f2895169e0b35bc9466c"},
     {file = "google_api_core-2.28.1.tar.gz", hash = "sha256:2b405df02d68e68ce0fbc138559e6036559e685159d148ae5861013dc201baf8"},
@@ -2020,12 +2038,12 @@ files = [
 google-auth = ">=2.14.1,<3.0.0"
 googleapis-common-protos = ">=1.56.2,<2.0.0"
 grpcio = [
+    {version = ">=1.33.2,<2.0.0", optional = true, markers = "extra == \"grpc\""},
     {version = ">=1.49.1,<2.0.0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
-    {version = ">=1.33.2,<2.0.0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
 ]
 grpcio-status = [
-    {version = ">=1.49.1,<2.0.0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
     {version = ">=1.33.2,<2.0.0", optional = true, markers = "extra == \"grpc\""},
+    {version = ">=1.49.1,<2.0.0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
 ]
 proto-plus = [
     {version = ">=1.22.3,<2.0.0"},
@@ -2047,7 +2065,7 @@ description = "Google Authentication Library"
 optional = true
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "python_version >= \"3.10\" and (extra == \"mlflow\" or extra == \"extra-proxy\") or extra == \"extra-proxy\""
+markers = "(extra == \"extra-proxy\" or extra == \"google\" or extra == \"mlflow\") and python_version >= \"3.10\" or extra == \"google\" or extra == \"extra-proxy\""
 files = [
     {file = "google_auth-2.43.0-py2.py3-none-any.whl", hash = "sha256:af628ba6fa493f75c7e9dbe9373d148ca9f4399b5ea29976519e0a3848eddd16"},
     {file = "google_auth-2.43.0.tar.gz", hash = "sha256:88228eee5fc21b62a1b5fe773ca15e67778cb07dc8363adcb4a8827b52d81483"},
@@ -2056,6 +2074,7 @@ files = [
 [package.dependencies]
 cachetools = ">=2.0.0,<7.0"
 pyasn1-modules = ">=0.2.1"
+requests = {version = ">=2.20.0,<3.0.0", optional = true, markers = "extra == \"requests\""}
 rsa = ">=3.1.4,<5"
 
 [package.extras]
@@ -2068,6 +2087,120 @@ requests = ["requests (>=2.20.0,<3.0.0)"]
 testing = ["aiohttp (<3.10.0)", "aiohttp (>=3.6.2,<4.0.0)", "aioresponses", "cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "cryptography (>=38.0.3)", "flask", "freezegun", "grpcio", "mock", "oauth2client", "packaging", "pyjwt (>=2.0)", "pyopenssl (<24.3.0)", "pyopenssl (>=20.0.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-localserver", "pyu2f (>=0.1.5)", "requests (>=2.20.0,<3.0.0)", "responses", "urllib3"]
 urllib3 = ["packaging", "urllib3"]
 
+[[package]]
+name = "google-cloud-aiplatform"
+version = "1.130.0"
+description = "Vertex AI API client library"
+optional = true
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"google\""
+files = [
+    {file = "google_cloud_aiplatform-1.130.0-py2.py3-none-any.whl", hash = "sha256:f578ccee55655dd9e2300cfcafb178e47c3dfdcf746ad465234b875d3e955929"},
+    {file = "google_cloud_aiplatform-1.130.0.tar.gz", hash = "sha256:f66aeb23f0a6848fc2d5bbdf1b5777c3cf8e06056f73ef815317abf89d5a0262"},
+]
+
+[package.dependencies]
+docstring_parser = "<1"
+google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.8.dev0,<3.0.0", extras = ["grpc"]}
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+optional = true
+python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"google\""
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+    {file = "google_cloud_core-2.5.0.tar.gz", hash = "sha256:7c1b7ef5c92311717bd05301aa1a91ffbc565673d3b0b4163a52d8413a186963"},
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+
 [[package]]
 name = "google-cloud-iam"
 version = "2.20.0"
@@ -2115,6 +2248,204 @@ grpc-google-iam-v1 = ">=0.12.4,<1.0.0dev"
 proto-plus = ">=1.22.3,<2.0.0dev"
 protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0dev"
 
+[[package]]
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+description = "Google Cloud Resource Manager API client library"
+optional = true
+python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"google\""
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+    {file = "google_cloud_resource_manager-1.16.0.tar.gz", hash = "sha256:cc938f87cc36c2672f062b1e541650629e0d954c405a4dac35ceedee70c267c3"},
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+
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+python-versions = ">=3.7"
+groups = ["main"]
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+
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+python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"google\""
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+requests = ["requests (>=2.18.0,<3.0.0)"]
+
 [[package]]
 name = "googleapis-common-protos"
 version = "1.72.0"
@@ -2126,7 +2457,7 @@ files = [
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 ]
-markers = {main = "extra == \"extra-proxy\""}
+markers = {main = "extra == \"extra-proxy\" or extra == \"google\" or python_version == \"3.9\" and (extra == \"google\" or extra == \"extra-proxy\")"}
 
 [package.dependencies]
 grpcio = {version = ">=1.44.0,<2.0.0", optional = true, markers = "extra == \"grpc\""}
@@ -2275,7 +2606,7 @@ description = "IAM API client library"
 optional = true
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "extra == \"extra-proxy\""
+markers = "extra == \"extra-proxy\" or extra == \"google\""
 files = [
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@@ -2371,7 +2702,7 @@ description = "Status proto mapping for gRPC"
 optional = true
 python-versions = ">=3.6"
 groups = ["main"]
-markers = "extra == \"extra-proxy\""
+markers = "extra == \"extra-proxy\" or extra == \"google\""
 files = [
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@@ -2389,7 +2720,7 @@ description = "WSGI HTTP Server for UNIX"
 optional = true
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "extra == \"proxy\" or (extra == \"proxy\" or extra == \"mlflow\") and platform_system != \"Windows\" and python_version >= \"3.10\""
+markers = "(python_version < \"3.14\" or extra == \"mlflow\" or extra == \"proxy\") and (platform_system != \"Windows\" or extra == \"proxy\") and (python_version >= \"3.10\" or extra == \"proxy\") and (extra == \"proxy\" or extra == \"mlflow\")"
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@@ -3095,15 +3426,15 @@ files = [
 
 [[package]]
 name = "litellm-proxy-extras"
-version = "0.4.23"
+version = "0.4.25"
 description = "Additional files for the LiteLLM Proxy. Reduces the size of the main litellm package."
 optional = true
 python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
 groups = ["main"]
 markers = "extra == \"proxy\""
 files = [
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 ]
 
 [[package]]
@@ -3446,8 +3777,8 @@ files = [
 
 [package.dependencies]
 numpy = [
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     {version = ">1.20"},
+    {version = ">=1.23.3", markers = "python_version >= \"3.11\""},
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     {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
 ]
@@ -3860,7 +4191,7 @@ description = "Fundamental package for array computing in Python"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "(python_version >= \"3.10\" or extra == \"extra-proxy\" or extra == \"semantic-router\") and python_version < \"3.12\" and (extra == \"extra-proxy\" or extra == \"semantic-router\" or extra == \"mlflow\")"
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@@ -3907,7 +4238,7 @@ description = "Fundamental package for array computing in Python"
 optional = true
 python-versions = ">=3.11"
 groups = ["main"]
-markers = "python_version >= \"3.12\" and (extra == \"extra-proxy\" or extra == \"semantic-router\" or extra == \"mlflow\") and (python_version < \"3.14\" or extra == \"mlflow\")"
+markers = "python_version >= \"3.12\" and (extra == \"extra-proxy\" or extra == \"google\" or extra == \"semantic-router\" or extra == \"mlflow\") and (python_version < \"3.14\" or extra == \"mlflow\" or extra == \"google\")"
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@@ -4838,7 +5169,7 @@ description = "Beautiful, Pythonic protocol buffers"
 optional = true
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "extra == \"extra-proxy\""
+markers = "extra == \"google\" or extra == \"extra-proxy\""
 files = [
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@@ -4870,7 +5201,7 @@ files = [
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 ]
-markers = {main = "python_version >= \"3.10\" and (extra == \"mlflow\" or extra == \"extra-proxy\") or extra == \"extra-proxy\""}
+markers = {main = "(extra == \"extra-proxy\" or extra == \"google\" or extra == \"mlflow\") and python_version >= \"3.10\" or extra == \"google\" or extra == \"extra-proxy\""}
 
 [[package]]
 name = "pyarrow"
@@ -4940,7 +5271,7 @@ description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs
 optional = true
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "python_version >= \"3.10\" and (extra == \"mlflow\" or extra == \"extra-proxy\") or extra == \"extra-proxy\""
+markers = "(extra == \"extra-proxy\" or extra == \"google\" or extra == \"mlflow\") and python_version >= \"3.10\" or extra == \"google\" or extra == \"extra-proxy\""
 files = [
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@@ -4953,7 +5284,7 @@ description = "A collection of ASN.1-based protocols modules"
 optional = true
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "python_version >= \"3.10\" and (extra == \"mlflow\" or extra == \"extra-proxy\") or extra == \"extra-proxy\""
+markers = "(extra == \"extra-proxy\" or extra == \"google\" or extra == \"mlflow\") and python_version >= \"3.10\" or extra == \"google\" or extra == \"extra-proxy\""
 files = [
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@@ -4985,7 +5316,7 @@ files = [
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 ]
-markers = {main = "(platform_python_implementation != \"PyPy\" or extra == \"proxy\") and implementation_name != \"PyPy\"", dev = "platform_python_implementation != \"PyPy\" and implementation_name != \"PyPy\"", proxy-dev = "platform_python_implementation != \"PyPy\" and implementation_name != \"PyPy\""}
+markers = {main = "implementation_name != \"PyPy\" and (platform_python_implementation != \"PyPy\" or extra == \"proxy\")", dev = "platform_python_implementation != \"PyPy\" and implementation_name != \"PyPy\"", proxy-dev = "platform_python_implementation != \"PyPy\" and implementation_name != \"PyPy\""}
 
 [[package]]
 name = "pydantic"
@@ -5362,7 +5693,7 @@ description = "Extensions to the standard Python datetime module"
 optional = true
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 groups = ["main"]
-markers = "python_version >= \"3.10\" and (extra == \"mlflow\" or extra == \"proxy\") or extra == \"proxy\""
+markers = "(extra == \"mlflow\" or extra == \"proxy\" or extra == \"google\") and python_version >= \"3.10\" or extra == \"proxy\" or extra == \"google\""
 files = [
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@@ -5422,7 +5753,7 @@ description = "World timezone definitions, modern and historical"
 optional = true
 python-versions = "*"
 groups = ["main"]
-markers = "python_version >= \"3.10\" and (extra == \"mlflow\" or extra == \"proxy\") or extra == \"proxy\""
+markers = "(extra == \"mlflow\" or extra == \"proxy\") and python_version >= \"3.10\" or extra == \"proxy\""
 files = [
     {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"},
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@@ -6241,7 +6572,7 @@ description = "Pure-Python RSA implementation"
 optional = true
 python-versions = "<4,>=3.6"
 groups = ["main"]
-markers = "python_version >= \"3.10\" and (extra == \"mlflow\" or extra == \"extra-proxy\") or extra == \"extra-proxy\""
+markers = "(extra == \"extra-proxy\" or extra == \"google\" or extra == \"mlflow\") and python_version >= \"3.10\" or extra == \"google\" or extra == \"extra-proxy\""
 files = [
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@@ -6279,22 +6610,22 @@ files = [
 
 [[package]]
 name = "s3transfer"
-version = "0.11.3"
+version = "0.14.0"
 description = "An Amazon S3 Transfer Manager"
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"proxy\""
 files = [
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 ]
 
 [package.dependencies]
-botocore = ">=1.36.0,<2.0a.0"
+botocore = ">=1.37.4,<2.0a.0"
 
 [package.extras]
-crt = ["botocore[crt] (>=1.36.0,<2.0a.0)"]
+crt = ["botocore[crt] (>=1.37.4,<2.0a.0)"]
 
 [[package]]
 name = "scikit-learn"
@@ -6542,6 +6873,141 @@ postgres = ["psycopg[binary] (>=3.1.0,<4)"]
 qdrant = ["qdrant-client (>=1.11.1,<2)"]
 vision = ["pillow (>=10.2.0,<11.0.0) ; python_version < \"3.13\"", "torch (>=2.6.0) ; python_version < \"3.13\"", "torchvision (>=0.17.0) ; python_version < \"3.13\"", "transformers (>=4.36.2) ; python_version < \"3.13\""]
 
+[[package]]
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+
+[[package]]
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+    {file = "shapely-2.1.2-cp313-cp313t-win32.whl", hash = "sha256:c8876673449f3401f278c86eb33224c5764582f72b653a415d0e6672fde887bf"},
+    {file = "shapely-2.1.2-cp313-cp313t-win_amd64.whl", hash = "sha256:4a44bc62a10d84c11a7a3d7c1c4fe857f7477c3506e24c9062da0db0ae0c449c"},
+    {file = "shapely-2.1.2-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:9a522f460d28e2bf4e12396240a5fc1518788b2fcd73535166d748399ef0c223"},
+    {file = "shapely-2.1.2-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:1ff629e00818033b8d71139565527ced7d776c269a49bd78c9df84e8f852190c"},
+    {file = "shapely-2.1.2-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:f67b34271dedc3c653eba4e3d7111aa421d5be9b4c4c7d38d30907f796cb30df"},
+    {file = "shapely-2.1.2-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:21952dc00df38a2c28375659b07a3979d22641aeb104751e769c3ee825aadecf"},
+    {file = "shapely-2.1.2-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:1f2f33f486777456586948e333a56ae21f35ae273be99255a191f5c1fa302eb4"},
+    {file = "shapely-2.1.2-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:cf831a13e0d5a7eb519e96f58ec26e049b1fad411fc6fc23b162a7ce04d9cffc"},
+    {file = "shapely-2.1.2-cp314-cp314-win32.whl", hash = "sha256:61edcd8d0d17dd99075d320a1dd39c0cb9616f7572f10ef91b4b5b00c4aeb566"},
+    {file = "shapely-2.1.2-cp314-cp314-win_amd64.whl", hash = "sha256:a444e7afccdb0999e203b976adb37ea633725333e5b119ad40b1ca291ecf311c"},
+    {file = "shapely-2.1.2-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:5ebe3f84c6112ad3d4632b1fd2290665aa75d4cef5f6c5d77c4c95b324527c6a"},
+    {file = "shapely-2.1.2-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:5860eb9f00a1d49ebb14e881f5caf6c2cf472c7fd38bd7f253bbd34f934eb076"},
+    {file = "shapely-2.1.2-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:b705c99c76695702656327b819c9660768ec33f5ce01fa32b2af62b56ba400a1"},
+    {file = "shapely-2.1.2-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a1fd0ea855b2cf7c9cddaf25543e914dd75af9de08785f20ca3085f2c9ca60b0"},
+    {file = "shapely-2.1.2-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:df90e2db118c3671a0754f38e36802db75fe0920d211a27481daf50a711fdf26"},
+    {file = "shapely-2.1.2-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:361b6d45030b4ac64ddd0a26046906c8202eb60d0f9f53085f5179f1d23021a0"},
+    {file = "shapely-2.1.2-cp314-cp314t-win32.whl", hash = "sha256:b54df60f1fbdecc8ebc2c5b11870461a6417b3d617f555e5033f1505d36e5735"},
+    {file = "shapely-2.1.2-cp314-cp314t-win_amd64.whl", hash = "sha256:0036ac886e0923417932c2e6369b6c52e38e0ff5d9120b90eef5cd9a5fc5cae9"},
+    {file = "shapely-2.1.2.tar.gz", hash = "sha256:2ed4ecb28320a433db18a5bf029986aa8afcfd740745e78847e330d5d94922a9"},
+]
+
+[package.dependencies]
+numpy = ">=1.21"
+
+[package.extras]
+docs = ["matplotlib", "numpydoc (==1.1.*)", "sphinx", "sphinx-book-theme", "sphinx-remove-toctrees"]
+test = ["pytest", "pytest-cov", "scipy-doctest"]
+
 [[package]]
 name = "shellingham"
 version = "1.5.4"
@@ -6561,7 +7027,7 @@ description = "Python 2 and 3 compatibility utilities"
 optional = true
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 groups = ["main"]
-markers = "python_version >= \"3.10\" and (extra == \"mlflow\" or extra == \"proxy\") or extra == \"proxy\""
+markers = "(extra == \"mlflow\" or extra == \"proxy\" or extra == \"google\") and python_version >= \"3.10\" or extra == \"proxy\" or extra == \"google\""
 files = [
     {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"},
     {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
@@ -6984,6 +7450,26 @@ examples = ["aiosqlite (>=0.21.0)", "fastapi (>=0.115.12)", "sqlalchemy[asyncio]
 granian = ["granian (>=2.3.1)"]
 uvicorn = ["uvicorn (>=0.34.0)"]
 
+[[package]]
+name = "starlette"
+version = "0.49.3"
+description = "The little ASGI library that shines."
+optional = false
+python-versions = ">=3.9"
+groups = ["main", "dev"]
+files = [
+    {file = "starlette-0.49.3-py3-none-any.whl", hash = "sha256:b579b99715fdc2980cf88c8ec96d3bf1ce16f5a8051a7c2b84ef9b1cdecaea2f"},
+    {file = "starlette-0.49.3.tar.gz", hash = "sha256:1c14546f299b5901a1ea0e34410575bc33bbd741377a10484a54445588d00284"},
+]
+markers = {main = "python_version == \"3.9\" and extra == \"proxy\"", dev = "python_version == \"3.9\""}
+
+[package.dependencies]
+anyio = ">=3.6.2,<5"
+typing-extensions = {version = ">=4.10.0", markers = "python_version < \"3.13\""}
+
+[package.extras]
+full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.18)", "pyyaml"]
+
 [[package]]
 name = "starlette"
 version = "0.50.0"
@@ -6995,7 +7481,7 @@ files = [
     {file = "starlette-0.50.0-py3-none-any.whl", hash = "sha256:9e5391843ec9b6e472eed1365a78c8098cfceb7a74bfd4d6b1c0c0095efb3bca"},
     {file = "starlette-0.50.0.tar.gz", hash = "sha256:a2a17b22203254bcbc2e1f926d2d55f3f9497f769416b3190768befe598fa3ca"},
 ]
-markers = {main = "python_version >= \"3.10\" and (extra == \"mlflow\" or extra == \"proxy\") or extra == \"proxy\""}
+markers = {main = "python_version >= \"3.10\" and (extra == \"mlflow\" or extra == \"proxy\")", dev = "python_version >= \"3.10\""}
 
 [package.dependencies]
 anyio = ">=3.6.2,<5"
@@ -7044,7 +7530,7 @@ description = "Retry code until it succeeds"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "extra == \"extra-proxy\" and python_version < \"3.14\""
+markers = "(extra == \"extra-proxy\" or extra == \"google\") and (python_version < \"3.14\" or extra == \"google\")"
 files = [
     {file = "tenacity-9.1.2-py3-none-any.whl", hash = "sha256:f77bf36710d8b73a50b2dd155c97b870017ad21afe6ab300326b0371b3b05138"},
     {file = "tenacity-9.1.2.tar.gz", hash = "sha256:1169d376c297e7de388d18b4481760d478b0e99a777cad3a9c86e556f4b697cb"},
@@ -7522,7 +8008,7 @@ description = "The lightning-fast ASGI server."
 optional = true
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "python_version >= \"3.10\" and (extra == \"mlflow\" or extra == \"proxy\") or extra == \"proxy\""
+markers = "(extra == \"mlflow\" or extra == \"proxy\") and python_version >= \"3.10\" or extra == \"proxy\""
 files = [
     {file = "uvicorn-0.31.1-py3-none-any.whl", hash = "sha256:adc42d9cac80cf3e51af97c1851648066841e7cfb6993a4ca8de29ac1548ed41"},
     {file = "uvicorn-0.31.1.tar.gz", hash = "sha256:f5167919867b161b7bcaf32646c6a94cdbd4c3aa2eb5c17d36bb9aa5cfd8c493"},
@@ -7543,7 +8029,7 @@ description = "Fast implementation of asyncio event loop on top of libuv"
 optional = true
 python-versions = ">=3.8.0"
 groups = ["main"]
-markers = "sys_platform != \"win32\" and extra == \"proxy\""
+markers = "extra == \"proxy\" and sys_platform != \"win32\""
 files = [
     {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ec7e6b09a6fdded42403182ab6b832b71f4edaf7f37a9a0e371a01db5f0cb45f"},
     {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:196274f2adb9689a289ad7d65700d37df0c0930fd8e4e743fa4834e850d7719d"},
@@ -7613,7 +8099,7 @@ description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "extra == \"proxy\""
+markers = "extra == \"google\" or extra == \"proxy\""
 files = [
     {file = "websockets-15.0.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d63efaa0cd96cf0c5fe4d581521d9fa87744540d4bc999ae6e08595a1014b45b"},
     {file = "websockets-15.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ac60e3b188ec7574cb761b08d50fcedf9d77f1530352db4eef1707fe9dee7205"},
@@ -7996,7 +8482,7 @@ type = ["pytest-mypy"]
 [extras]
 caching = ["diskcache"]
 extra-proxy = ["a2a-sdk", "azure-identity", "azure-keyvault-secrets", "google-cloud-iam", "google-cloud-kms", "prisma", "redisvl", "resend"]
-grpc = ["grpcio", "grpcio"]
+google = ["google-cloud-aiplatform"]
 mlflow = ["mlflow"]
 proxy = ["PyJWT", "apscheduler", "azure-identity", "azure-storage-blob", "backoff", "boto3", "cryptography", "fastapi", "fastapi-sso", "gunicorn", "litellm-enterprise", "litellm-proxy-extras", "mcp", "orjson", "polars", "pynacl", "python-multipart", "pyyaml", "rich", "rq", "soundfile", "uvicorn", "uvloop", "websockets"]
 semantic-router = ["semantic-router"]
@@ -8005,4 +8491,4 @@ utils = ["numpydoc"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.9,<4.0"
-content-hash = "f6a98e687d478db6e30274a4cf70391960775cbf648da0783558444da3a662ea"
+content-hash = "76f5b5fb10667c2dcf428976292672e7a1f3f2eb5f5bf78998e2192899f5037e"
diff --git a/tests/llm_translation/test_bedrock_completion.py b/tests/llm_translation/test_bedrock_completion.py
index 7c0db41d13a..d48dd1bfd98 100644
--- a/tests/llm_translation/test_bedrock_completion.py
+++ b/tests/llm_translation/test_bedrock_completion.py
@@ -3954,3 +3954,288 @@ def test_bedrock_openai_error_handling():
 
     assert exc_info.value.status_code == 422
     print("✓ Error handling works correctly")
+
+# ============================================================================
+# Nova Grounding (web_search_options) Unit Tests (Mocked)
+# ============================================================================
+
+def test_bedrock_nova_grounding_web_search_options_non_streaming():
+    """
+    Unit test for Nova grounding using web_search_options parameter (non-streaming).
+
+    This test mocks the HTTP call to verify:
+    1. web_search_options is correctly mapped to systemTool for Nova models
+    2. The request structure is correct
+
+    Related: https://docs.aws.amazon.com/nova/latest/userguide/grounding.html
+    """
+    from unittest.mock import patch, MagicMock
+    from litellm.llms.custom_httpx.http_handler import HTTPHandler
+
+    client = HTTPHandler()
+
+    messages = [
+        {
+            "role": "user",
+            "content": "What is the current population of Tokyo, Japan?",
+        }
+    ]
+
+    with patch.object(client, "post") as mock_post:
+        try:
+            completion(
+                model="us.amazon.nova-pro-v1:0",  # No bedrock/ prefix when using api_base
+                messages=messages,
+                web_search_options={},  # Enables Nova grounding
+                max_tokens=500,
+                client=client,
+                api_base="https://bedrock-runtime.us-east-1.amazonaws.com",
+            )
+        except Exception:
+            pass  # Expected - we're just checking the request structure
+
+        # Verify the request was made correctly
+        if mock_post.called:
+            request_body = json.loads(mock_post.call_args.kwargs.get("data", "{}"))
+            print(f"Request body: {json.dumps(request_body, indent=2)}")
+
+            # Verify toolConfig is present with systemTool
+            assert "toolConfig" in request_body, "toolConfig should be in request"
+            tool_config = request_body["toolConfig"]
+            assert "tools" in tool_config, "tools should be in toolConfig"
+
+            # Find the systemTool for nova_grounding
+            system_tool_found = False
+            for tool in tool_config["tools"]:
+                if "systemTool" in tool:
+                    assert tool["systemTool"]["name"] == "nova_grounding"
+                    system_tool_found = True
+                    break
+
+            assert system_tool_found, "systemTool with nova_grounding should be present"
+            print(f"✓ web_search_options correctly transformed to systemTool (non-streaming)")
+
+
+def test_bedrock_nova_grounding_with_function_tools():
+    """
+    Unit test for Nova grounding combined with regular function tools.
+
+    This tests the scenario where users want both web grounding AND
+    custom function calling capabilities.
+    """
+    from unittest.mock import patch
+    from litellm.llms.custom_httpx.http_handler import HTTPHandler
+
+    client = HTTPHandler()
+
+    # Regular function tool
+    tools = [
+        {
+            "type": "function",
+            "function": {
+                "name": "get_stock_price",
+                "description": "Get the current stock price for a given ticker symbol",
+                "parameters": {
+                    "type": "object",
+                    "properties": {
+                        "ticker": {
+                            "type": "string",
+                            "description": "The stock ticker symbol, e.g. AAPL, GOOGL",
+                        }
+                    },
+                    "required": ["ticker"],
+                },
+            },
+        }
+    ]
+
+    messages = [
+        {
+            "role": "user",
+            "content": "What is the current market cap of Apple Inc?",
+        }
+    ]
+
+    with patch.object(client, "post") as mock_post:
+        try:
+            completion(
+                model="us.amazon.nova-pro-v1:0",  # No bedrock/ prefix when using api_base
+                messages=messages,
+                tools=tools,
+                web_search_options={},  # Also enable web grounding
+                max_tokens=500,
+                client=client,
+                api_base="https://bedrock-runtime.us-east-1.amazonaws.com",
+            )
+        except Exception:
+            pass  # Expected - we're just checking the request structure
+
+        # Verify the request was made correctly
+        if mock_post.called:
+            request_body = json.loads(mock_post.call_args.kwargs.get("data", "{}"))
+            print(f"Request body: {json.dumps(request_body, indent=2)}")
+
+            # Verify toolConfig has both function tool and systemTool
+            assert "toolConfig" in request_body, "toolConfig should be in request"
+            tool_config = request_body["toolConfig"]
+            assert "tools" in tool_config, "tools should be in toolConfig"
+
+            tools_in_request = tool_config["tools"]
+
+            # Should have both the function tool and the systemTool
+            function_tool_found = False
+            system_tool_found = False
+
+            for tool in tools_in_request:
+                if "toolSpec" in tool:
+                    assert tool["toolSpec"]["name"] == "get_stock_price"
+                    function_tool_found = True
+                if "systemTool" in tool:
+                    assert tool["systemTool"]["name"] == "nova_grounding"
+                    system_tool_found = True
+
+            assert function_tool_found, "Function tool (get_stock_price) should be present"
+            assert system_tool_found, "systemTool (nova_grounding) should be present"
+            print(f"✓ Both function tools and web_search_options correctly combined")
+
+
+@pytest.mark.asyncio
+async def test_bedrock_nova_grounding_async():
+    """
+    Async unit test for Nova grounding via web_search_options.
+
+    This test verifies the request transformation for async calls.
+    """
+    from unittest.mock import patch, AsyncMock
+    from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
+
+    client = AsyncHTTPHandler()
+
+    messages = [
+        {
+            "role": "user",
+            "content": "What is the weather forecast for New York City today?",
+        }
+    ]
+
+    with patch.object(client, "post", new=AsyncMock()) as mock_post:
+        try:
+            await litellm.acompletion(
+                model="us.amazon.nova-pro-v1:0",  # No bedrock/ prefix when using api_base
+                messages=messages,
+                web_search_options={},
+                max_tokens=500,
+                client=client,
+                api_base="https://bedrock-runtime.us-east-1.amazonaws.com",
+            )
+        except Exception:
+            pass  # Expected - we're just checking the request structure
+
+        # Verify the request was made correctly
+        if mock_post.called:
+            request_body = json.loads(mock_post.call_args.kwargs.get("data", "{}"))
+            print(f"Request body: {json.dumps(request_body, indent=2)}")
+
+            # Verify toolConfig is present with systemTool
+            assert "toolConfig" in request_body, "toolConfig should be in request"
+            tool_config = request_body["toolConfig"]
+            assert "tools" in tool_config, "tools should be in toolConfig"
+
+            # Find the systemTool for nova_grounding
+            system_tool_found = False
+            for tool in tool_config["tools"]:
+                if "systemTool" in tool:
+                    assert tool["systemTool"]["name"] == "nova_grounding"
+                    system_tool_found = True
+                    break
+
+            assert system_tool_found, "systemTool with nova_grounding should be present"
+            print(f"✓ Async web_search_options correctly transformed to systemTool")
+
+
+def test_bedrock_nova_web_search_options_ignored_for_non_nova():
+    """
+    Test that web_search_options is ignored for non-Nova Bedrock models.
+
+    Nova grounding is only supported on Nova models. For other models,
+    the parameter should be silently ignored.
+    """
+    from litellm.llms.bedrock.chat.converse_transformation import AmazonConverseConfig
+
+    config = AmazonConverseConfig()
+
+    # Should return None for non-Nova models
+    result = config._map_web_search_options({}, "anthropic.claude-3-sonnet-v1")
+    assert result is None
+
+    result = config._map_web_search_options({}, "amazon.titan-text-express-v1")
+    assert result is None
+
+    # Should return systemTool for Nova models
+    result = config._map_web_search_options({}, "amazon.nova-pro-v1:0")
+    assert result is not None
+    system_tool = result.get("systemTool")
+    assert system_tool is not None
+    assert system_tool["name"] == "nova_grounding"
+
+    result2 = config._map_web_search_options({}, "us.amazon.nova-premier-v1:0")
+    assert result2 is not None
+    system_tool2 = result2.get("systemTool")
+    assert system_tool2 is not None
+    assert system_tool2["name"] == "nova_grounding"
+
+
+def test_bedrock_nova_grounding_request_transformation():
+    """
+    Unit test to verify that web_search_options transforms to systemTool in the request.
+    """
+    from unittest.mock import patch, MagicMock
+    from litellm.llms.custom_httpx.http_handler import HTTPHandler
+
+    client = HTTPHandler()
+
+    messages = [{"role": "user", "content": "What is the population of Tokyo?"}]
+
+    with patch.object(client, "post") as mock_post:
+        mock_post.return_value = MagicMock(
+            status_code=200,
+            json=lambda: {
+                "output": {"message": {"role": "assistant", "content": [{"text": "Test"}]}},
+                "stopReason": "end_turn",
+                "usage": {"inputTokens": 10, "outputTokens": 5}
+            }
+        )
+
+        try:
+            response = completion(
+                model="bedrock/us.amazon.nova-pro-v1:0",
+                messages=messages,
+                web_search_options={},
+                max_tokens=100,
+                client=client,
+            )
+        except Exception:
+            pass  # Expected - we're just checking the request
+
+        if mock_post.called:
+            request_body = json.loads(mock_post.call_args.kwargs.get("data", "{}"))
+            print(f"Request body: {json.dumps(request_body, indent=2)}")
+
+            # Verify toolConfig is present with systemTool
+            assert "toolConfig" in request_body, "toolConfig should be in request"
+
+            tool_config = request_body["toolConfig"]
+            assert "tools" in tool_config, "tools should be in toolConfig"
+
+            tools_in_request = tool_config["tools"]
+
+            # Find the systemTool
+            system_tool_found = False
+            for tool in tools_in_request:
+                if "systemTool" in tool:
+                    assert tool["systemTool"]["name"] == "nova_grounding"
+                    system_tool_found = True
+                    break
+
+            assert system_tool_found, "systemTool with nova_grounding should be present"
+            print("✓ web_search_options correctly transformed to systemTool")
diff --git a/tests/test_litellm/litellm_core_utils/prompt_templates/test_litellm_core_utils_prompt_templates_factory.py b/tests/test_litellm/litellm_core_utils/prompt_templates/test_litellm_core_utils_prompt_templates_factory.py
index a22fe13798f..e87233a52a3 100644
--- a/tests/test_litellm/litellm_core_utils/prompt_templates/test_litellm_core_utils_prompt_templates_factory.py
+++ b/tests/test_litellm/litellm_core_utils/prompt_templates/test_litellm_core_utils_prompt_templates_factory.py
@@ -1138,6 +1138,73 @@ def test_bedrock_create_bedrock_block_different_document_formats():
         assert block["document"]["name"].endswith(f"_{format_type}")
         assert block["document"]["format"] == format_type
 
+def test_bedrock_nova_web_search_options_mapping():
+    """
+    Test that web_search_options is correctly mapped to Nova grounding.
+
+    This follows the LiteLLM pattern for web search where:
+    - Vertex AI maps web_search_options to {"googleSearch": {}}
+    - Anthropic maps web_search_options to {"type": "web_search_20250305", ...}
+    - Nova should map web_search_options to {"systemTool": {"name": "nova_grounding"}}
+    """
+    from litellm.llms.bedrock.chat.converse_transformation import AmazonConverseConfig
+
+    config = AmazonConverseConfig()
+
+    # Test basic mapping for Nova model
+    result = config._map_web_search_options({}, "amazon.nova-pro-v1:0")
+
+    assert result is not None
+    system_tool = result.get("systemTool")
+    assert system_tool is not None
+    assert system_tool["name"] == "nova_grounding"
+
+    # Test with search_context_size (should be ignored for Nova)
+    result2 = config._map_web_search_options(
+        {"search_context_size": "high"},
+        "us.amazon.nova-premier-v1:0"
+    )
+
+    assert result2 is not None
+    system_tool2 = result2.get("systemTool")
+    assert system_tool2 is not None
+    assert system_tool2["name"] == "nova_grounding"
+    # Nova doesn't support search_context_size, so it's just ignored
+
+def test_bedrock_tools_pt_does_not_handle_system_tool():
+    """
+    Verify that _bedrock_tools_pt does NOT handle system_tool format.
+
+    System tools (nova_grounding) should be added via web_search_options,
+    not via the tools parameter directly.
+    """
+    
+    from litellm.litellm_core_utils.prompt_templates.factory import _bedrock_tools_pt
+
+    # Regular function tools should still work
+    tools = [
+        {
+            "type": "function",
+            "function": {
+                "name": "get_weather",
+                "description": "Get the current weather",
+                "parameters": {
+                    "type": "object",
+                    "properties": {
+                        "location": {"type": "string"}
+                    },
+                    "required": ["location"]
+                }
+            }
+        }
+    ]
+
+    result = _bedrock_tools_pt(tools=tools)
+
+    assert len(result) == 1
+    tool_spec = result[0].get("toolSpec")
+    assert tool_spec is not None
+    assert tool_spec["name"] == "get_weather"
 
 def test_convert_to_anthropic_tool_result_image_with_cache_control():
     """
@@ -1305,12 +1372,12 @@ def test_convert_to_anthropic_tool_result_image_url_as_http():
     assert result["content"][0]["cache_control"]["type"] == "ephemeral"
 def test_anthropic_messages_pt_server_tool_use_passthrough():
     """
-    Test that anthropic_messages_pt passes through server_tool_use and 
+    Test that anthropic_messages_pt passes through server_tool_use and
     tool_search_tool_result blocks in assistant message content.
-    
+
     These are Anthropic-native content types used for tool search functionality
     that need to be preserved when reconstructing multi-turn conversations.
-    
+
     Fixes: https://github.com/BerriAI/litellm/issues/XXXXX
     """
     from litellm.litellm_core_utils.prompt_templates.factory import anthropic_messages_pt
@@ -1359,15 +1426,15 @@ def test_anthropic_messages_pt_server_tool_use_passthrough():
 
     # Verify we have 3 messages (user, assistant, user)
     assert len(result) == 3
-    
+
     # Verify the assistant message content
     assistant_msg = result[1]
     assert assistant_msg["role"] == "assistant"
     assert isinstance(assistant_msg["content"], list)
-    
+
     # Find the different content block types
     content_types = [block.get("type") for block in assistant_msg["content"]]
-    
+
     # Verify server_tool_use block is preserved
     assert "server_tool_use" in content_types
     server_tool_use_block = next(
@@ -1376,7 +1443,7 @@ def test_anthropic_messages_pt_server_tool_use_passthrough():
     assert server_tool_use_block["id"] == "srvtoolu_01ABC123"
     assert server_tool_use_block["name"] == "tool_search_tool_regex"
     assert server_tool_use_block["input"] == {"query": ".*time.*"}
-    
+
     # Verify tool_search_tool_result block is preserved
     assert "tool_search_tool_result" in content_types
     tool_result_block = next(
@@ -1385,7 +1452,7 @@ def test_anthropic_messages_pt_server_tool_use_passthrough():
     assert tool_result_block["tool_use_id"] == "srvtoolu_01ABC123"
     assert tool_result_block["content"]["type"] == "tool_search_tool_search_result"
     assert tool_result_block["content"]["tool_references"][0]["tool_name"] == "get_time"
-    
+
     # Verify text block is also preserved
     assert "text" in content_types
     text_block = next(